FORECASTING RETAIL TRADE TURNOVER IN THE FOOD MARKET AS A BASIS FOR MAKING TACTICAL AND STRATEGIC DECISIONS TO IMPROVE THE EFFICIENCY OF SERVICES
Rubrics: TRADE
Authors:
1.
Siberian Federal University
Krasnoyarsk, Krasnoyarsk, Russian Federation
Krasnoyarsk, Krasnoyarsk, Russian Federation
Type:
Article
Pages:
from 1
to 10
Status:
Published
Received:
25.03.2022
Accepted:
20.05.2022
Published:
20.05.2022
Subject area:
VAC 08.00.05 Экономика и управление народным хозяйством
UDK 332 Региональная (территориальная) экономика. Земельный (аграрный) вопрос. Жилищное хозяйство
UDK 332.05 Динамичные, качественные и количественные аспекты. Изменения (трансформации, преобразования, превращения). Прогресс.Регресс
GRNTI 71.31 Розничная торговля
UDK 332 Региональная (территориальная) экономика. Земельный (аграрный) вопрос. Жилищное хозяйство
UDK 332.05 Динамичные, качественные и количественные аспекты. Изменения (трансформации, преобразования, превращения). Прогресс.Регресс
GRNTI 71.31 Розничная торговля
Language:
Russian
Keywords:
forecasting; retail trade turnover; correlation and regression dependence; factors affecting retail trade turnover; food products
Abstract (English):
The article discusses the forecasting of retail trade turnover in the food market on the basis of correlation and regression dependence. This forecast is carried out using the Minitab 17 program, which significantly unifies calculations and allows you to assess the impact of factors. The constructed model and the results of forecasting allow us to assess the prospects for the development of enterprises in this field, are the basis for making tactical and strategic decisions to improve the efficiency of services.
The article discusses the forecasting of retail trade turnover in the food market on the basis of correlation and regression dependence. This forecast is carried out using the Minitab 17 program, which significantly unifies calculations and allows you to assess the impact of factors. The constructed model and the results of forecasting allow us to assess the prospects for the development of enterprises in this field, are the basis for making tactical and strategic decisions to improve the efficiency of services.
Keywords:
forecasting; retail trade turnover; correlation and regression dependence; factors affecting retail trade turnover; food products
forecasting; retail trade turnover; correlation and regression dependence; factors affecting retail trade turnover; food products
1. Department of the Federal State Statistics Service for the Krasnoyarsk Territory, the Republic of Khakassia and the Republic of Tyva. URL: https://krasstat.gks.ru/.
2. Unified Interdepartmental Information Statistical System : State Statistics. URL: https://www.fedstat.ru.
3. Hank, D.E., Wichern, D.W., Wrights, A.D. (2003) Business Forecasting. Moscow (in rus.). 665 p.
4. Voloshin, A.V. (2017). Formation of a mechanism for increasing the competitiveness of higher education organizations in the market of educational services. Section 3.2 Formation of competitiveness of higher education organizations in the market of educational services based on the dynamics of the contingent. Krasnoyarsk. 308 p.
